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Integrating Science Needs with Advanced Seafloor Sensor Engineering to Provide Early Warning of Geohazards: Visioning Workshop and Roadmap for the Future

Integrating Science Needs with Advanced Seafloor Sensor Engineering to Provide Early Warning of Geohazards: Visioning Workshop and Roadmap for the Future
将科学需求与先进的海底传感器工程相结合,提供地质灾害早期预警:未来愿景研讨会和路线图
批准号:
1817257
负责人:
Christopher Parrish
金额:
$5.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2018
资助国家:
美国
项目状态:
已结题
起止时间:
2018-04-01 至 2019-03-31

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中文摘要
翻译
PIs要求资金支持一个研讨会,重点是了解当前的海底和海底传感,以及海底仪器的未来需求,以提供实时数据,以及地质灾害和早期预警的工程需求。他们提议在俄勒冈州的海边举办为期两天的研讨会。该研讨会将汇集来自学术界、政府和私营部门的海洋地质和地球物理学、海洋学、传感器、通信、可视化、计算机科学、机器人、岩土工程和海洋地理信息学等领域的领先科学和工程专家,制定一个强有力的计划来解决海底传感器面临的挑战。最终的可交付成果将包括一份最终报告和一篇提交给美国地球物理联盟EOS期刊的论文。要解决的具体问题包括地质灾害和早期预警的工程需求,开发用于测量海底变形和温度的传感器,以及在大范围内以高分辨率测量流体流动。还将考虑将传感器的数据迅速有效地传送到陆地的战略(包括先进的就地数据处理和数据压缩算法)以及利用来自环境的能源为站供电的方法。该奖项反映了美国国家科学基金会的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
The PIs request funding to support a workshop focused on understanding current seafloor and subseafloor sensing, and future needs for instrumenting the seafloor to provide real-time data and engineering needs for geohazards and early warning. They propose a two-day workshop is Seaside, Oregon. The proposed workshop will bring together leading science and engineering experts within the fields of marine geology and geophysics, oceanography, sensors, communications, visualization, computer science, robotics, geotechnical engineering, and marine geomatics from the academic, government, and private sectors to develop a robust plan for addressing seafloor sensor challenges. The final deliverables will include a final report and a paper for submission to the American Geophysical Union's EOS journal.Specific topics to be addressed include engineering needs for geohazards and early warning, development of sensors to measure seafloor deformation and temperature and fluid flow with high resolution over a large area. Strategies for transmitting data from the sensors to land quickly and efficiently (including advanced in situ data processing and data compression algorithms) will also be considered as well as methods for powering the stations using energy derived from the environment.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
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